Sustained virologic response and several sociodemographic factors were found to be significantly associated with long-term improvements in health-related quality of life in patients with HCV.
The XGBoost machine learning model outperformed other AI and logistic regression models for predicting DAA failure, with an AUROC of 1.000 in the training dataset and 0.803 in the validation dataset.
Patients in the integrated and standard care treatment arms reported similar SCL-10 scores indicative of psychological stress and symptom burden, both at baseline and after the completion of DAA treatment.